The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

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Uses RDF libraries to process various types of SPARQL query result.

SPARQL Package for R: Movie Star Graph Visualization Tutorial

The SPARQL Package allows you to directly import results of SPARQL SELECT queries into the statistical environment of R as a data frame, allowing one [...]

By |August 6th, 2017|Comments Off on SPARQL Package for R: Movie Star Graph Visualization Tutorial

Using the SPARQL Package in R to Handle Spatial Linked Data: Part II

Continuing where Part I left off, this tutorial shows how to access Spatial and Temporal Data about the complex environmental system of the Brazilian Amazon [...]

By |August 6th, 2017|Comments Off on Using the SPARQL Package in R to Handle Spatial Linked Data: Part II

Using the SPARQL Package in R to Handle Spatial Linked Data: Part I

As a solution to bridge two communities, those of statistical computing and the Semantic Web, there is now the SPARQL Package for R, which enables [...]

By |August 6th, 2017|Comments Off on Using the SPARQL Package in R to Handle Spatial Linked Data: Part I

SPARQL Package for R: Linked Open Piracy Tutorial

This tutorial shows how to do a visual analysis and basic statistical analysis of the data in the Linked Open Piracy data set. It makes [...]

By |August 6th, 2017|Comments Off on SPARQL Package for R: Linked Open Piracy Tutorial

Getting Started with RDF and SPARQL Using Sesame and Python

This blog post includes documentation of how to install a triplestore, load data into it, retrieve it using SPARQL, and access the results as native [...]

By |December 28th, 2016|Comments Off on Getting Started with RDF and SPARQL Using Sesame and Python

Client-Side APIs for Semantics

This is the eleventh chapter in MarkLogic's "Semantic Developer's Guide". It discusses client-side APIs that provide support for management of triples and graphs, SPARQL and [...]

By |July 16th, 2016|Comments Off on Client-Side APIs for Semantics

Using Semantics with the REST Client API

This is the ninth chapter in MarkLogic's "Semantic Developer's Guide". It describes how to use MarkLogic Semantics with the REST Client API to view, query, [...]

By |April 17th, 2016|Comments Off on Using Semantics with the REST Client API

Semantic Queries

This is the sixth chapter in MarkLogic's "Semantic Developer's Guide". This chapter discusses the principal techniques and tools used for performing semantic queries on RDF [...]

By |April 15th, 2016|Comments Off on Semantic Queries

Semantic Python: Mastering Linked Data with Python

Python offers a very powerful and easy to use library to work with Linked Data: rdflib. RDFLib is a lightweight and functionally complete RDF library, [...]

By |August 13th, 2015|0 Comments

How-to Guide for Creating a Linked Data Site

The author attempts to walk the reader through the process of creating what he considers to be a Linked Data site. He assumes that the [...]

By |August 13th, 2015|0 Comments